Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Knowledge Hut

OCTOBER 30, 2023

This data and reports are generated and developed by Power BI developers. A Power BI developer is a business intelligence personnel who thoroughly understands business intelligence, data integration, data warehousing, modeling, database administration, and technical aspects of BI systems.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. This demands the implementation of advanced data integration techniques, such as real-time streaming ingestion, batch processing, and API-based access.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Towards Data Science

DECEMBER 4, 2023

Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g. Data Lake & Data Integration We’ll face our first challenge while we integrate and consolidate everything in a single place.

Data Engineering 87

Data Engineering Data Engineer Engineering Data Lake 87

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. Innovative CX Chief Customer Service Experience Officer Bob Azman puts it this way: “Everybody is collecting lots of data.

High Quality Data 105

High Quality Data Data Governance Government Banking 105

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Privacy and Security Big Data: Large Data vs Big Data analysis poses challenges in maintaining data privacy and security. With the scale and diversity of data involved, protecting sensitive information and ensuring data security becomes more complex.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 23, 2024

Privacy and Security Concerns The chances of data in large volumes being vulnerable to security threats, data breaches, and cyberattacks are quite high. Unless it is safeguarded via modern tech means, data security is a very real threat. Costs Every activity related to big data brings significant costs.

Big Data 52

Big Data Media Government Big Data Skills 52

Snowflake

JUNE 26, 2023

We’re back for the Partner Summit at the world’s largest data, apps, and AI conference, Snowflake Summit ! The incredible advancements we have made in data accessibility, monetization, and generative AI would never have been possible without Snowflake’s vibrant and innovative partner ecosystem.

Entertainment 56

Entertainment Retail Healthcare Business Intelligence 56

Databand.ai

JULY 19, 2023

However, with the rise of the internet and cloud computing, data is now generated and stored across multiple sources and platforms. This dispersed data environment creates a challenge for businesses that need to access and analyze their data. The extraction process requires careful planning to ensure data integrity.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Precisely

DECEMBER 8, 2023

In the context of this change, business leaders recognize the pressing need for data-driven decision-making. Without data integrity, however, initiatives to enable data-driven decisions will fail to meet expectations. What is data integrity ? What is Data Governance?

Data Governance 69

Data Governance Government Datasets Programming 69

Knowledge Hut

DECEMBER 7, 2023

Use the Power BI mobile app to access the dashboards, or use email, Teams, Weblink, or embedded into a website. Following user authentication, user requests are forwarded to the closest data centre using Azure Traffic Manager. Only the Azure API Management and Gateway Role on the backend can be directly accessed by a web client.

BI 52

BI Business Intelligence Datasets Data Analysis 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Meta-Orchestration .

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

Knowledge Hut

JANUARY 30, 2024

API (Application Programming Interface) Access : Many platforms and services offer APIs that allow for systematic data retrieval. APIs provide structured access to data, making it easier to extract and integrate information from sources like social media platforms, weather services, or financial data providers.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Databand.ai

JANUARY 24, 2023

The Ultimate Guide for Data Teams Eric Jones 2023-01-24 12:21:38 If you find yourself hearing a lot about DataOps and then subsequently asking, “ What is DataOps? The concept of DataOps has become prevalent in recent years as a way to ensure teams effectively manage data and maintain efficient access to high quality, timely data.

Retail 52

Retail Banking Government Manufacturing 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

FEBRUARY 7, 2023

This exam measures your ability to design and implement data management, data processing, and data security solutions using Azure data services. The course covers the skills and knowledge required to design and implement data management, data processing, and data security solutions using Azure data services.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Monte Carlo

APRIL 20, 2023

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox. Here are four data lineage use cases for data access and enablement.

Data Warehouse 52

Data Warehouse BI Government Data 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

Knowledge Hut

SEPTEMBER 21, 2023

The aim is to build reliable data pipelines that gather data from various sources and route it to the appropriate destinations, such as data lakes, data warehouses, or data lakehouses. We are the architects of data, ensuring its integrity, security, and accessibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

MARCH 26, 2024

Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms. Develop data integration and ETL processes to ensure data quality, consistency, and integrity.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

FEBRUARY 6, 2023

Better governance? Facilitating self-service data? Integrating new tooling? Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. Is your data structured?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2022

Snowflake allows data to be examined and cleaned immediately, assuring data integrity. Snowflake also has data discovery features, allowing users to find and retrieve data more efficiently and rapidly. Snowflake Data Marketplace gives users rapid access to various third-party data sources.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Poor data quality, reliability, and integrity. Issues with data security and governance. DataFrame API support.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

MAY 12, 2023

For example, developers can use Twitter API to access and collect public tweets, user profiles, and other data from the Twitter platform. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. PII data) of each data product, and the access rights for each different group of data consumers.

Architecture 123

Architecture Metadata Government Kafka 123

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Databricks two-plane infrastructure.

Scala 64

Scala Data Lake BI Google Cloud 64